Biometric recognition refers to the use of physical or behavioral characteristics fingerprints, face, iris, signature, voice, etc) to determine the identity of a person. In order to use a human characteristic as a biometric identifier, it must possess some requisites such as universality, uniqueness, permanence, acceptability, among others. Due to these requirements, none of the biometric traits is considered the best. Fingerprints are the most widely used biometric identifier because almost all human beings have fingerprints. Besides, they are distinct even in identical twins and even facing temporary changes, such as scars and cuts, they will regenerate in the original pattern.
The methods based in minutiae points are considered the most popular and widely used in automatic systems for fingerprints recognition. Nevertheless, it is a common mistake to consider that automatic fingerprint recognition is a totally solved problem. The extraction of minutiae points is still a complex problem with poor quality images. Besides, another significant challenge is the matching of minutiae points when there is just a small overlap area between the template image and the query image, since there will be just a small set of minutia points in the intersection area. These scenarios, however, are becoming more and more common as the utilization of fingerprints sensors
in cellular phones, notebooks and other mobile devices is becoming more popular. Nowadays, the use of multi biometric systems is considered one of the keys to improve the accuracy of biometric systems.
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Mobile: 91-9611145044
Email: info@embeddedkits.in
Website: www.embeddedkits.in
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